Portable Device Flight Data Aggregation System
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Solution Overview
Problem
Existing flight data aggregation systems are inefficient and costly, often lacking real-time data processing capabilities and providing limited insights due to reliance on legacy systems like ACARS or incomplete data feeds from newer approaches like ADS-B.
Innovation Solution
A flight data aggregation system utilizing portable electronic devices with sensors to monitor and analyze flight data in real-time, identifying significant incidents and transmitting this data to central computers for pattern determination, leveraging the devices' computing power to alleviate central processing burdens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If legacy systems like ACARS are used to gather and share flight data, then data aggregation is achieved, but the system becomes slow and expensive
Solution Approach 1:
The portable electronic device performs self-service by autonomously monitoring flight data through its sensors, analyzing the data locally to detect insight events, and transmitting only relevant data. This eliminates dependency on expensive legacy systems like ACARS while maintaining data aggregation capabilities.
Solution Approach 2:
The patent replaces the mechanical/legacy communication infrastructure (ACARS) with a sensor-based electronic monitoring system integrated into portable devices. This substitution enables faster, more efficient data collection without relying on outdated communication protocols.
2Loss of information
If newer approaches like ADS-B are used for data collection, then faster and more ubiquitous data feeds are obtained, but only limited data parameters and insight are provided
Solution Approach 1:
The patent merges multiple data sources and sensor inputs within the portable electronic device to create a comprehensive monitoring system. By combining accelerometer, gyroscope, barometer, and other sensor data with flight information, the system achieves both complete data parameters and real-time processing capabilities.
Solution Approach 2:
The system adds a new dimension of local real-time analysis capability to the data collection process. Instead of merely collecting data and processing it centrally, the portable device performs analysis locally, creating a multi-layered processing architecture that enhances both data completeness and processing speed.
3Measurement precision
If centralized systems process all flight data, then comprehensive analysis is achieved, but the system becomes complicated and time-consuming
Solution Approach 1:
The patent segments the data processing function across multiple levels: the portable electronic device handles local monitoring and initial analysis, while central systems perform aggregate pattern analysis. This segmentation reduces the complexity burden on any single component while maintaining comprehensive analysis capabilities.
Solution Approach 2:
The portable electronic device acts as an intermediary between the aircraft sensors and central analysis systems. It pre-processes data, identifies insight events, and transmits only relevant information, thereby simplifying the overall system architecture and reducing communication overhead.
4Loss of time
If real-time analysis is performed on all flight data, then immediate insight detection is achieved, but the computational burden and cost increase significantly
Solution Approach 1:
The system applies partial action by performing real-time analysis only on specific insight events rather than continuously analyzing all flight data. The portable device monitors all parameters but triggers detailed analysis only when anomalies or significant events are detected, reducing computational cost while maintaining rapid response capability.
Solution Approach 2:
The portable electronic device performs preliminary filtering and analysis of flight data before transmission. By pre-identifying insight events and pre-processing data locally, the system reduces the computational burden on central systems while maintaining real-time detection capabilities.
Data Source
AI summary
A flight data aggregation system for a plurality of aircraft includes one or more portable electronic devices in electronic communication with one or more central computers. The one or more portable electronic devices each monitor flight data from a corresponding aircraft. The one or more portable electronic devices analyze the flight data in real-time to determine an insight event indicating an incident of significance is presently occurring upon the corresponding aircraft. Each central computer includes one or more processors and a memory coupled to the one or more processors. The central computers are caused to receive the flight data collected during the insight event from an individual portable electronic device. The central computers determine overall flight data patterns based on the flight data collected during the insight event received from the individual portable electronic device and historical data stored in the one or more databases.